{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 新型冠状病毒数据分析演示\n",
    "\n",
    "新型冠状病毒（2019-nCov) 的疫情牵动着全世界人民的心，而理性地对待离不开数据和分析。为了让人民大众及时了解情况，很多网站都公布疫情的实时信息。比方说[丁香园疫情实时动态](https://ncov.dxy.cn/ncovh5/view/pneumonia)， [腾讯疫情实时追踪](https://news.qq.com/zt2020/page/feiyan.htm)， [约翰霍普金斯实时新冠地图](https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6) 等等。这些网站快速地为公众提供了信息，增加了透明度。但是如果读者希望对疫情有进一步的了解，这些网站就不够用了。比方说，如果你想得到过去十天湖北省确诊人数，那就只能从趋势图上作个估计了。再比方说，如果你想对比一下湖南、广东、浙江三省在过去十天的新增确诊人数，那么单凭网页数据也无能为力了。\n",
    "\n",
    "为了取得可以供研究使用的数据，[DXY-2019-nCoV-Data](https://github.com/BlankerL/DXY-2019-nCoV-Data) 项目利用网络爬虫不断从网上抓取数据，更新并存成 CSV 格式。然而，这个 CSV 文件包含的是不同时刻网页上的信息片段，有的时候只有这几个城市，有的时候只有那几个城市，数据并不规整。\n",
    "\n",
    "为了进一步方便用户进行研究，本项目[nCov2019_analysis](https://github.com/jianxu305/nCov2019_analysis) 提供了一些基本工具，把实时数据规整为每日数据，方便用户按时间、省份、城市等方法检索。同时，本项目还提供了基本的时间序列和横向分析作图函数，方便用户取得基本信息。\n",
    "\n",
    "以下是基本使用方法演示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import utils   # some convenient functions\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 获取原始 CSV 数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last update:  2020-04-17 21:43:58\n",
      "Data date range:  2020-01-22 to 2020-04-17\n",
      "Number of rows in raw data:  140753\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Cannot mask with non-boolean array containing NA / NaN values",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-df123db8c355>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mutils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_chinese_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\CloudStation\\Projects\\nCov2019_analysis\\src\\utils.py\u001b[0m in \u001b[0;36mload_chinese_data\u001b[1;34m()\u001b[0m\n\u001b[0;32m    100\u001b[0m     \u001b[1;34m''' This includes some basic cleaning'''\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    101\u001b[0m     \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload_chinese_raw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 102\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrename_cities\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    103\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    104\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\CloudStation\\Projects\\nCov2019_analysis\\src\\utils.py\u001b[0m in \u001b[0;36mrename_cities\u001b[1;34m(snapshots)\u001b[0m\n\u001b[0;32m    181\u001b[0m     \u001b[0mFor\u001b[0m \u001b[0mnow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mentries\u001b[0m \u001b[0mwill\u001b[0m \u001b[0mbe\u001b[0m \u001b[0mignored\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mcity_name\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mxxx\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxxx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mxxx\u001b[0m \u001b[0malready\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mcity_name\u001b[0m \u001b[0mset\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    182\u001b[0m     '''\n\u001b[1;32m--> 183\u001b[1;33m     \u001b[0mdup_frm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msnapshots\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0msnapshots\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'city_name'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'（'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    184\u001b[0m     \u001b[0mrename_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    185\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdup_frm\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\research\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2788\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2789\u001b[0m         \u001b[1;31m# Do we have a (boolean) 1d indexer?\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2790\u001b[1;33m         \u001b[1;32mif\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_bool_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2791\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_bool_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2792\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\research\\lib\\site-packages\\pandas\\core\\common.py\u001b[0m in \u001b[0;36mis_bool_indexer\u001b[1;34m(key)\u001b[0m\n\u001b[0;32m    134\u001b[0m                 \u001b[0mna_msg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"Cannot mask with non-boolean array containing NA / NaN values\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    135\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0misna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 136\u001b[1;33m                     \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mna_msg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    137\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    138\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Cannot mask with non-boolean array containing NA / NaN values"
     ]
    }
   ],
   "source": [
    "data = utils.load_chinese_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>province_name</th>\n",
       "      <th>city_name</th>\n",
       "      <th>province_confirmed</th>\n",
       "      <th>province_suspected</th>\n",
       "      <th>province_cured</th>\n",
       "      <th>province_dead</th>\n",
       "      <th>city_confirmed</th>\n",
       "      <th>city_suspected</th>\n",
       "      <th>city_cured</th>\n",
       "      <th>city_dead</th>\n",
       "      <th>update_time</th>\n",
       "      <th>update_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>广西壮族自治区</td>\n",
       "      <td>南宁</td>\n",
       "      <td>226</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
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       "      <td>2020-02-14 23:18:15.495</td>\n",
       "      <td>2020-02-14</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>广西壮族自治区</td>\n",
       "      <td>北海</td>\n",
       "      <td>226</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>广西壮族自治区</td>\n",
       "      <td>桂林</td>\n",
       "      <td>226</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
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       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-02-14 23:18:15.495</td>\n",
       "      <td>2020-02-14</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  province_name city_name  province_confirmed  province_suspected  \\\n",
       "0       广西壮族自治区        南宁                 226                   0   \n",
       "1       广西壮族自治区        北海                 226                   0   \n",
       "2       广西壮族自治区        桂林                 226                   0   \n",
       "\n",
       "   province_cured  province_dead  city_confirmed  city_suspected  city_cured  \\\n",
       "0              36              2              47               0          11   \n",
       "1              36              2              40               0           4   \n",
       "2              36              2              31               0           5   \n",
       "\n",
       "   city_dead             update_time update_date  \n",
       "0          0 2020-02-14 23:18:15.495  2020-02-14  \n",
       "1          1 2020-02-14 23:18:15.495  2020-02-14  \n",
       "2          0 2020-02-14 23:18:15.495  2020-02-14  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)  # 查看数据形式"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 数据预处理\n",
    "### 2.1 把实时数据整合成每日数据，以更新日期 *update_date* 为索引\n",
    "*aggDaily()* 函数内部作了一部分数据除错处理，加入了每日新增案例，以及英文（拼音）地名以方便检索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'utils' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-79fccd7d46f2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdaily_frm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mutils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maggDaily\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'utils' is not defined"
     ]
    }
   ],
   "source": [
    "daily_frm = utils.aggDaily(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2020-02-14</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-02-14 21:20:51.303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   update_date province_name province_name_en city_name city_name_en  \\\n",
       "77  2020-02-14          黑龙江省      Helongjiang        鹤岗       Hegang   \n",
       "74  2020-02-14          黑龙江省      Helongjiang        黑河        Heihe   \n",
       "71  2020-02-14          黑龙江省      Helongjiang      齐齐哈尔     Qiqihaer   \n",
       "\n",
       "    cum_confirmed  cum_cured  cum_dead  new_confirmed  new_cured  new_dead  \\\n",
       "77              5          2         0            0.0        1.0       0.0   \n",
       "74             13          0         0            3.0        0.0       0.0   \n",
       "71             36          8         1            3.0        4.0       0.0   \n",
       "\n",
       "               update_time  \n",
       "77 2020-02-14 21:20:51.303  \n",
       "74 2020-02-14 21:20:51.303  \n",
       "71 2020-02-14 21:20:51.303  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_frm.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 数据查看"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 提取部分信息"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 用 province_name 检索省级数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>update_date</th>\n",
       "      <th>province_name</th>\n",
       "      <th>province_name_en</th>\n",
       "      <th>city_name</th>\n",
       "      <th>city_name_en</th>\n",
       "      <th>cum_confirmed</th>\n",
       "      <th>cum_cured</th>\n",
       "      <th>cum_dead</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_dead</th>\n",
       "      <th>update_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38306</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>中山</td>\n",
       "      <td>Zhongshan</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38300</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>佛山</td>\n",
       "      <td>Foshan</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38301</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38302</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>惠州</td>\n",
       "      <td>Huizhou</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38298</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>深圳</td>\n",
       "      <td>Shenzhen</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      update_date province_name province_name_en city_name city_name_en  \\\n",
       "38306  2020-01-24           广东省        Guangdong        中山    Zhongshan   \n",
       "38300  2020-01-24           广东省        Guangdong        佛山       Foshan   \n",
       "38301  2020-01-24           广东省        Guangdong        广州    Guangzhou   \n",
       "38302  2020-01-24           广东省        Guangdong        惠州      Huizhou   \n",
       "38298  2020-01-24           广东省        Guangdong        深圳     Shenzhen   \n",
       "\n",
       "       cum_confirmed  cum_cured  cum_dead  new_confirmed  new_cured  new_dead  \\\n",
       "38306              2          0         0            NaN        NaN       NaN   \n",
       "38300              7          0         0            NaN        NaN       NaN   \n",
       "38301              7          0         0            NaN        NaN       NaN   \n",
       "38302              5          0         0            NaN        NaN       NaN   \n",
       "38298             15          2         0            NaN        NaN       NaN   \n",
       "\n",
       "                  update_time  \n",
       "38306 2020-01-24 23:35:03.158  \n",
       "38300 2020-01-24 23:35:03.158  \n",
       "38301 2020-01-24 23:35:03.158  \n",
       "38302 2020-01-24 23:35:03.158  \n",
       "38298 2020-01-24 23:35:03.158  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_frm[daily_frm['province_name'] == '广东省'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 用 city_name 检索市级数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>update_date</th>\n",
       "      <th>province_name</th>\n",
       "      <th>province_name_en</th>\n",
       "      <th>city_name</th>\n",
       "      <th>city_name_en</th>\n",
       "      <th>cum_confirmed</th>\n",
       "      <th>cum_cured</th>\n",
       "      <th>cum_dead</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_dead</th>\n",
       "      <th>update_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38497</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>武汉</td>\n",
       "      <td>Wuhan</td>\n",
       "      <td>495</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 17:30:09.978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37322</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>武汉</td>\n",
       "      <td>Wuhan</td>\n",
       "      <td>572</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2020-01-25 23:55:35.775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36673</th>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>武汉</td>\n",
       "      <td>Wuhan</td>\n",
       "      <td>618</td>\n",
       "      <td>40</td>\n",
       "      <td>45</td>\n",
       "      <td>46.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2020-01-26 13:50:35.848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35494</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>武汉</td>\n",
       "      <td>Wuhan</td>\n",
       "      <td>698</td>\n",
       "      <td>42</td>\n",
       "      <td>63</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2020-01-27 16:42:57.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34690</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>武汉</td>\n",
       "      <td>Wuhan</td>\n",
       "      <td>1590</td>\n",
       "      <td>47</td>\n",
       "      <td>85</td>\n",
       "      <td>892.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2020-01-28 16:36:17.441</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      update_date province_name province_name_en city_name city_name_en  \\\n",
       "38497  2020-01-24           湖北省            Hubei        武汉        Wuhan   \n",
       "37322  2020-01-25           湖北省            Hubei        武汉        Wuhan   \n",
       "36673  2020-01-26           湖北省            Hubei        武汉        Wuhan   \n",
       "35494  2020-01-27           湖北省            Hubei        武汉        Wuhan   \n",
       "34690  2020-01-28           湖北省            Hubei        武汉        Wuhan   \n",
       "\n",
       "       cum_confirmed  cum_cured  cum_dead  new_confirmed  new_cured  new_dead  \\\n",
       "38497            495         31        23            NaN        NaN       NaN   \n",
       "37322            572         32        38           77.0        1.0      15.0   \n",
       "36673            618         40        45           46.0        8.0       7.0   \n",
       "35494            698         42        63           80.0        2.0      18.0   \n",
       "34690           1590         47        85          892.0        5.0      22.0   \n",
       "\n",
       "                  update_time  \n",
       "38497 2020-01-24 17:30:09.978  \n",
       "37322 2020-01-25 23:55:35.775  \n",
       "36673 2020-01-26 13:50:35.848  \n",
       "35494 2020-01-27 16:42:57.343  \n",
       "34690 2020-01-28 16:36:17.441  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_frm[daily_frm['city_name'] == '武汉'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 也可以用 province_name_en, city_name_en 进行英文（拼音）检索\n",
    "（请注意，因为可能存在不同城市的汉字对应相同的拼音，所以检索城市时请尽量使用汉字。如果使用拼音检索，请务必保证其对应汉字城市的唯一性）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>update_date</th>\n",
       "      <th>province_name</th>\n",
       "      <th>province_name_en</th>\n",
       "      <th>city_name</th>\n",
       "      <th>city_name_en</th>\n",
       "      <th>cum_confirmed</th>\n",
       "      <th>cum_cured</th>\n",
       "      <th>cum_dead</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_dead</th>\n",
       "      <th>update_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38301</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-24 23:35:03.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37963</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-25 10:56:23.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36554</th>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-26 18:26:35.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35380</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-27 21:01:37.693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34597</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广州</td>\n",
       "      <td>Guangzhou</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-28 18:44:36.890</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      update_date province_name province_name_en city_name city_name_en  \\\n",
       "38301  2020-01-24           广东省        Guangdong        广州    Guangzhou   \n",
       "37963  2020-01-25           广东省        Guangdong        广州    Guangzhou   \n",
       "36554  2020-01-26           广东省        Guangdong        广州    Guangzhou   \n",
       "35380  2020-01-27           广东省        Guangdong        广州    Guangzhou   \n",
       "34597  2020-01-28           广东省        Guangdong        广州    Guangzhou   \n",
       "\n",
       "       cum_confirmed  cum_cured  cum_dead  new_confirmed  new_cured  new_dead  \\\n",
       "38301              7          0         0            NaN        NaN       NaN   \n",
       "37963             14          0         0            7.0        0.0       0.0   \n",
       "36554             17          0         0            3.0        0.0       0.0   \n",
       "35380             41          0         0           24.0        0.0       0.0   \n",
       "34597             51          0         0           10.0        0.0       0.0   \n",
       "\n",
       "                  update_time  \n",
       "38301 2020-01-24 23:35:03.158  \n",
       "37963 2020-01-25 10:56:23.314  \n",
       "36554 2020-01-26 18:26:35.233  \n",
       "35380 2020-01-27 21:01:37.693  \n",
       "34597 2020-01-28 18:44:36.890  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_frm[daily_frm['city_name_en'] == 'Guangzhou'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 用 updateDate 检索单日数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>update_date</th>\n",
       "      <th>province_name</th>\n",
       "      <th>province_name_en</th>\n",
       "      <th>city_name</th>\n",
       "      <th>city_name_en</th>\n",
       "      <th>cum_confirmed</th>\n",
       "      <th>cum_cured</th>\n",
       "      <th>cum_dead</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_dead</th>\n",
       "      <th>update_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35531</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>上海市</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>嘉定区</td>\n",
       "      <td>Jiadingqu</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-27 15:56:40.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35521</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>上海市</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>外地来沪人员</td>\n",
       "      <td>Non_Residence</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-27 15:56:40.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35532</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>上海市</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>奉贤区</td>\n",
       "      <td>Fengxian</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-27 15:56:40.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35530</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>上海市</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>宝山区</td>\n",
       "      <td>Baoshanqu</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-27 15:56:40.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35525</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>上海市</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>徐汇区</td>\n",
       "      <td>Xuhuiqu</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-01-27 15:56:40.534</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      update_date province_name province_name_en city_name   city_name_en  \\\n",
       "35531  2020-01-27           上海市         Shanghai       嘉定区      Jiadingqu   \n",
       "35521  2020-01-27           上海市         Shanghai    外地来沪人员  Non_Residence   \n",
       "35532  2020-01-27           上海市         Shanghai       奉贤区       Fengxian   \n",
       "35530  2020-01-27           上海市         Shanghai       宝山区      Baoshanqu   \n",
       "35525  2020-01-27           上海市         Shanghai       徐汇区        Xuhuiqu   \n",
       "\n",
       "       cum_confirmed  cum_cured  cum_dead  new_confirmed  new_cured  new_dead  \\\n",
       "35531              1          0         0            NaN        NaN       NaN   \n",
       "35521             23          3         0            NaN        NaN       NaN   \n",
       "35532              1          0         0            NaN        NaN       NaN   \n",
       "35530              1          0         0            NaN        NaN       NaN   \n",
       "35525              3          0         0            NaN        NaN       NaN   \n",
       "\n",
       "                  update_time  \n",
       "35531 2020-01-27 15:56:40.534  \n",
       "35521 2020-01-27 15:56:40.534  \n",
       "35532 2020-01-27 15:56:40.534  \n",
       "35530 2020-01-27 15:56:40.534  \n",
       "35525 2020-01-27 15:56:40.534  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_frm[daily_frm['update_date'] == pd.to_datetime('2020-01-27')].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 时序比较图 utils.tsplot_conf_dead_cured()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 全国累计确诊、每日新增确诊、死亡、治愈时间序列图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = utils.tsplot_conf_dead_cured(daily_frm, title='全国确诊、死亡、治愈人数')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 单个省份的时间序列也很容易，只要把想要的省份数据检索出来作为输入就可以了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "province = '河南省'   # 输入你所要的省份\n",
    "fig = utils.tsplot_conf_dead_cured(daily_frm[daily_frm['province_name'] == province], title=province + ' 确诊、死亡、治愈人数')\n",
    "plt.show()                                  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 单个城市用法也是一样的, 还可以使用 logy=True 画指数图，看人数是否指数增长"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "city = '武汉'\n",
    "fig = utils.tsplot_conf_dead_cured(daily_frm[daily_frm['city_name'] == city], logy=False, \n",
    "                                  title=city + ' 确诊、死亡、治愈人数')\n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 横向比较图 utils.cross_sectional_bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 各省份在2月三号确诊数比较"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = utils.cross_sectional_bar(daily_frm, '2020-02-03', col='cum_confirmed', groupby='province_name',\n",
    "                              title='2020-02-03 各省累计确诊数比较')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 湖北省各地2月1号死亡数比较"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iBUuXLp3tbmz2rPNwWOfhsM7DYZ2HwzoPh3UejkF1TnLZRNo7xU6SJEmSGgOSJEmSJDUGJEmSJElqDEiSJEmS1BiQJEmSJKkxIEmSJElSk6qa7T5sMpLsUFW3DPOe+x1wYG31tNOGecst0quXrOfkC1z1fqZZ5+GwzsNhnYfDOg+HdR6OLbHOq05aPvR7jrHM93lVddh47R1BmpynJHnlbHdCkiRJ0swwIE3O14FHJLl3kr9Kst3oE9JZPNZFkjxohvonSZIkaQq2rDG+SUqyF3Bf4DBgR+BE4OaqujTJr4Hjgb/ubVNVleQFSX4GfAh4ILAfcE9gb7qaH53k96vq0uF9G0mSJEnjMSCNbY/295lV9VuAJDcBVNWH20hSv+eS/hb4eFX9c5J7AmuA/wv8ErgHsK/hSJIkSZp7DEhjuwjYCzgoyT50I0CHJXkrsDOwC/A54GO9japqbZKntc1vAE+tqs8DJDmSbmRJkiRJ0hxjQOojyXy66XQLgEuBRwMfBj4J7AacUlWr+7R7GPB44L1VdXmSP6yqryRZnGTXNgr1cOA9w/oukiRJkibOZb4nIMlrgXOq6twkTwYur6rvDDj3cOB9VfV7SV5YVWcmWQQ8BzgLeH5VHTvO/Y4GjgZYuHDRocefeua0fh/d1Z7bw1VrZrsXmz/rPBzWeTis83BY5+GwzsOxJdZ5yT47D/2eq1evZsGCBXfZv2zZsgkt8+0I0hiSvAR4P90zRPdLspxuJOlxQN+AVFXfTvLYJA+mG32iqq5JshZ4I6MWdRhwjTOAM6B7D9KWtl7+bNgS30swG6zzcFjn4bDOw2Gdh8M6D8eWWOdVRy0d+j0HvQdpolzme2yH0D1nBHAVcFJV/ZhuVbqBquoK4InAN3t2fwHYq6oum4mOSpIkSZo6A9LYrgXWt88/rKqb2ucb2rQ5ksxPsm1vo/Z+pO2rakPP7pcBX0jyezPdaUmSJEkbx4A0tjX8rkaPT/LsJAfTTX97Vdu/f/vT6ynAV0c2kjyHbgTpVODlSTKjvZYkSZK0UbasSZCTkGRruvcgvQX4OfDRqvp5z/EbkzwauAW4ve07iG757ycDz2j7jqAbTfpi2/4S8ErglOF9G0mSJEkTYUDqI8mudKNEXwc+0OdFsAAnAf/cPn8W+O+quiTJm4FbqmpdkkcB966q9440qqp/T/LtJPdp7c+vqrUz+oUkSZIkTYgBqY/2vqL/Pc45leQvgLcCB/Tsf2OSPZL8CXBTVb2vT/PnAb8PLKRbBOKqaeu8JEmSpI1mQJqCqloP3OWdRlV1dZKzRi3S0Hv8x8CPJ3KP7efPY+VJy6fWUY1rxYoVs7IM5ZbGOg+HdR4O6zwc1nk4rPNwWOdNg4s0zJBB4UiSJEnS3GVAkiRJkqTGgCRJkiRJjQFJkiRJkhoDkiRJkiQ1BiRJkiRJagxIkiRJktQYkCRJkiSpMSBJkiRJUmNAkiRJkqTGgCRJkiRJjQFJkiRJkhoDkiRJkiQ1BiRJkiRJarae7Q5obGvWbWDxcWfPdjembNVJy2e7C5IkSdK4HEEaR5J9ez5vneTw2eyPJEmSpJljQBrfyUn2Aaiq9cA/jXVykj/rsy9JFia5X5JTktxvhvoqSZIkaQqcYje+C4HbkwTYH7gwyVOBg4GTq2rNqPOflWQJXfhM+1PAdcA1wCHAz4fVeUmSJEkTZ0Dqo4WhVwELgCXt8zXAnsBFwKXAN/qEI4BLquoNo653KLBdVZ2T5NCqumVGv4AkSZKkjWJA6qOqCjgZIMnjgWuq6ntJng98DbgWWJxkGfCLqvpWT/Pbk+wEbFtV17Z9RwDbAufQjShJkiRJmoMMSKMkuT+wH91o0a7AImCrJH8JXAXsAaylG1G6Gvjt6GtU1U1JjkzytdbmwcCzRm4x419CkiRJ0kYxIN1VgBuB84FtqurnAElOAT4KLAYOB35cVV8adJGq+kiSV9M9i/S+qtrQc31JkiRJc1C62WTqJ8m/Aj8C5gFLgXcDvwSOBt5dVRf0afPOqnpN+7wL8N/A46vqp23fe6rqxePc9+h2DxYuXHTo8aeeOW3fabYs2Wfn2e7CmFavXs2CBQtmuxubPes8HNZ5OKzzcFjn4bDOw2Gdh2NQnZctW3ZeVR02XntHkMb2C+DDdKNGD6Vbue4mumB5l3DUx8uBRwNnJHlNVV3EBEaQquoM4AyA/Q44sE6+YNP/Ma06aulsd2FMK1asYOnSpbPdjc2edR4O6zwc1nk4rPNwWOfhsM7DMdU6+x6k8S0CNgCrqurtVfU14NbxGiU5EvhaVf0KeCnwRzPbTUmSJElTtekPTcysewK70IWkg5O8hm41um3GaLNDkvsC66rqvwCq6mdJTpvx3kqSJEmaEgPS2M4FbqB7QewT6Va1u76qbut3cpJt6FbAW11VXxx1eC/gcmD+zHVXkiRJ0lQ4xW5sH6SbHrdfVa2jW9L7pUlOaaNEo+1G9xqlX/Q5tkOS44G5vVqBJEmStAVzBGmAJI8DHgm8uapWAbSQdEqShwMnAE/rbVNVV7alve+iqn6S5HMYSiVJkqQ5y4A0SpIARwKXVNXx/c6pqnOTfGfAsUsGXbuqzqd7v9KEbT9/HitPWj6ZJpIkSZI2kgFplOpeDPXZCZy3YbxzJEmSJG1anO4lSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUGJAkSZIkqTEgSZIkSVJjQJIkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUbD3bHdDY1qzbwOLjzp7tbkzIqpOWz3YXJEmSpClxBGkCkhyY5Dkb2fYeSfZKkunulyRJkqTpZUCagKr6CfCXI9tJ7p3kkRNsfj3wIeDeSV6VxJpLkiRJc5S/rE9ACzU/TfKYJPcFXgrsMeDce/duV9VNwMVVdQkwH3hykofOdJ8lSZIkTZ7PIA3QQtHLgB2BW4DdgQBLgZ9V1acHNH1Ikj8G1rXzC1iS5FjgGuBG4MqZ7b0kSZKkjWFAGqCqbgdOG9lOshj4DXAI8KEkzwUeCXyiqr7U2xT4VlWdm2Q34D7AzcC5wG7Aoqq6bBjfQZIkSdLkGJBGSbIQeC7dyNFt7c86uil1LwHOopua+DXgI1V126hL7AXs26bR3Qr8vJ37FOBewKkz/y0kSZIkbQwD0ihVdW2S91fVbwGSbAv8Ad3Uus8C+wNHVtULBlxiW+A7wHbAvsDyqvpie3bpv6rqkiTzgNurqmb460iSJEmahPg7+mBJ9gE+B7yHLvSsAZ4NvLeqfj2gzeuBXwPfb3//Od0qdm8DLq2q05I8CLipqi4dcI2jgaMBFi5cdOjxp545rd9rpizZZ+fZ7sJGW716NQsWLJjtbmz2rPNwWOfhsM7DYZ2HwzoPh3UejkF1XrZs2XlVddh47Q1IAyS5O/B04ONV9eskTwZ2Av61qirJrnQhZ31Pm3sBhwJ70o0grQcuAe5NF7KeDiwGvgzsWlVnjdeP/Q44sLZ62mnjnTYnbMovil2xYgVLly6d7W5s9qzzcFjn4bDOw2Gdh8M6D4d1Ho5BdU4yoYDkFLtRkmwDLKdbte5nwPIkO9IFm3nAnkl2ALahex7pWz3NHw18ENgb+E1VrW6jQe+vqrVJvgl8F/hrYGVrL0mSJGmOMCDd1aH8LrgcCnyzqn7TRoyeXlX/1K9RkvvQhZ4jgG8Dj6F7ZukiuuXC30r3TNJjgedX1doZ/RaSJEmSJs0XxY5SVd+qqnXtz7eBNUm2ppsud7cxml4FnAMsraqbW7s/rKr/At6d5P7AT4EL6UaQJEmSJM0xBqTx3Qq8AHgy8MtBJ1XV9cAfApe37S8DOyV5G7Az3bNIz6iqjwL/ONOdliRJkjR5BqRxtBfGnkEXfr4zzulfB+5Ycq6q/gN4N13AOh14VJJU1TUz1F1JkiRJU+AzSBPQ3lf07Amcd2uffb8C/mZj7739/Hms3IRXh5MkSZI2JY4gSZIkSVJjQJIkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUGJAkSZIkqTEgSZIkSVJjQJIkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWq2nu0ObCqSbF9Va5JsBWxXVbeMc/7Cqrq2z/5tgROA11fV7ePdd826DSw+7uyN7faUrTpp+azdW5IkSRo2A9IYkrwOuAp4KPDzJGuB/wV8Ksk5wJXAK4AzquqXo5qfnuRFVXVNkntX1aUAVbU2yVJgPrB2WN9FkiRJ0vicYje27YF/A24BdqyqdwEXAGcBpwFPAx4JXN2n7Q3A6vb5hUke0XPskqoyHEmSJElzjCNIY9sBeCywE3BbkhcD96Sr238BXwPWDgg7q6tqTft8FXBdz7GbZq7LkiRJkjaWI0gDJAldMFoFHAP8Anh/Vf1vfhd2HgV8ZlS7A5Ic0j4vaLvXAjslufsQui5JkiRpIxmQBqiqAt4A7AI8ie6ZoTcmeWjPaecDDxjVdJ+RSwBLkjy9bV8HvD7JATPXa0mSJElTYUAa2y3AeuDzVXUq8C5gO2ApQFV9F3hwkl162hxBF4aqqr4FPLXn2JnAi4fQb0mSJEkbwWeQ+kiyK/Ac4DbaCFKSK4FbgSu48/NEPwSWAf/Rtp9QVW9py4EDPA94NkBV/aBd540z/y0kSZIkTZYBqY+q+i1wKkCSvwI+T7dgw6OAa+im1j2unb4H0Pu+o2Pb80sb2rVu7DbvuPZVvdv9JDkaOBpg4cJFHL9k/dS/1EZasWLFrN17mFavXr3FfNfZZJ2HwzoPh3UeDus8HNZ5OKzzcEy1zgak8e0I7AZcSjea9M22f0GSE+mW+X7SyMlVdU5bpOHCnmtsRfdM0oRU1RnAGQD7HXBgnXzB7P2YVh21dNbuPUwrVqxg6dKls92NzZ51Hg7rPBzWeTis83BY5+GwzsMx1TobkMZRVcfDHava3V5VV7fV6a4HPgD8qqpGL9v9J8B7erb3ZxIBSZIkSdLscJGGcSTZv4WjP6J79xF0K9pVVf2yqs4cdf4+wLVVdUPP7pV0Cz6MMJhKkiRJc5C/qI/vJrrnkfYHntb23Z1udbs7SbIdcCRw+qhDZ1bVhp7tA2egn5IkSZKmyIA0jqq6NskngAOq6ta2e0fgxj6nLwPOaO9Q6r3GhlHnnTX9PZUkSZI0VQakCaiqc4Bzera/m+SiPud9YYLXO3UauydJkiRpmhiQNlJV3TyM+2w/fx4rT1o+jFtJkiRJWzwXaZAkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUGJAkSZIkqTEgSZIkSVJjQJIkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUGJAkSZIkqdl6tjuwuUkyr6o2TNf11qzbwOLjzp6uy/W16qTlM3p9SZIkaVPhCNIkJNkuyYOSvCTJLgNOOyjJc8e4xp4z0ztJkiRJU+UI0gBJDgSeBWwH3AY8HDgX+AVwCTCvT5ud27HXJbkYuAm4F7AXsAddvf8syZOqauUwvockSZKkiTMgDVBVP0nynqq6EiDJN4Djq6rGaLYT8BbgeOB6YF9gPfBV4FdVtTbJ3oYjSZIkaW4yII1hJBw1q0aHoyTbVNVtPbuuBOZX1aq2fT3wo1GXvX3aOypJkiRpWhiQxpBkW2Bv4J7AvkleDewDLAB2B36V5JVVdTtAVa1PsmbWOixJkiRpSgxIfSR5DvAE4HLgJ3RhaFfgbOCSkUAkSZIkafOSsR+pEUCSNwH/BvxpVb11nHNPrapXjHH8vVX1onGucTRwNMDChYsOPf7UMzei1xO3ZJ+dZ/T6m4LVq1ezYMGC2e7GZs86D4d1Hg7rPBzWeTis83BY5+EYVOdly5adV1WHjdfeEaRxJAmwX1WtTHJxkodX1bkzec+qOgM4A2C/Aw6sky+Y2R/TqqOWzuj1NwUrVqxg6dKls92NzZ51Hg7rPBzWeTis83BY5+GwzsMx1Tr7HqTxPQv4GEBVfRp4WpLtZrdLkiRJkmaCAWkMSfYDllTVF3t2vxt42yx1SZIkSdIMMiANkORg4BjgDb37qyt3sowAACAASURBVOpSYHWS17fpd71t5gN9H+pK8sA28mTNJUmSpDnKZ5BGaaHnz4AdgdcMeDHsW4EvAfdN8u9V9R9t/70Y/J6ji4FTgPtNc5clSZIkTRMD0l09APhKVV076ISqWgP8QZ9DlwOXDGqT5Djg1GnppSRJkqRpZ0Aapar+ZwptbwROH+f48zf2+pIkSZJmlgFpjtt+/jxWnrR8trshSZIkbRFcMECSJEmSGgOSJEmSJDUGJEmSJElqDEiSJEmS1BiQJEmSJKkxIEmSJElSY0CSJEmSpMaAJEmSJEmNAUmSJEmSGgOSJEmSJDUGJEmSJElqDEiSJEmS1BiQJEmSJKkxIEmSJElSs/Vsd0BjW7NuA4uPO3vK11l10vJp6I0kSZK0eXMEaRxJduz5/NBRxxYm2alPm3nD6JskSZKk6WVAGt9bkixon9+UpHfUbT3wuT5tDkry3EEXTLLnNPZPkiRJ0jRxit34bgRuaZ+/CyxKclVV3V5V1yf5Re/JSXYGLgFel+Ri4CbgXsBewB50Nf+zJE+qqpVD+xaSJEmSxmVA6qNNq3sscA/gcOCYJLsB+wEvAD6d5A+q6nTg6lHNdwLeAhwPXA/sSzfS9FXgV1W1NsnehiNJkiRp7jEg9VFVNye5jC7U3KOq3pVkOfB3VXUjQJJjBjS/EphfVava9vXAj0adc/sMdFuSJEnSFPkM0gBVdX5V3QS8L8lCujD5pCTHtlN+O6DdemDNkLopSZIkaRo5gjRAkvnAy4ElwErgP4FlwKuGcO+jgaMBFi5cxPFL1k/5mitWrJjyNTZnq1evtkZDYJ2HwzoPh3UeDus8HNZ5OKzzcEy1zgakAapqHXBykqcDF1bVD9vCCiPT4zKD9z4DOANgvwMOrJMvmPqPadVRS6d8jc3ZihUrWLp06Wx3Y7NnnYfDOg+HdR4O6zwc1nk4rPNwTLXOBqQB2vuN7gE8GFicZBlweJK3A6cBO89m/yRJkiRNPwNSH0kWAc8DLgTuBpxYVTckuXtVHZdkO+CqWe2kJEmSpGlnQOqjqq4B3gGQ5OFVdcOo47cmOXFWOidJkiRpxriK3RiSHAGsaJ8DVM/hPdrf80a1mT/qvN5jD2yjT9ZdkiRJmoMcQRqgPYP0kKp6Z9u1F3d+f9FDkmwDbDOq6b0Y/J6ji4FTgPtNZ18lSZIkTQ9HMvpIsgtwJHBqz+51wM9HNqrqs3Th6JJRzS/vs2+kzRrgOLplwyVJkiTNMY4g9XdLVX2kd0dVXQu8b9S+O53T9t0InD7owu348yfake3nz2PlScsnerokSZKkKXAEqY+qum22+yBJkiRp+AxIkiRJktQYkCRJkiSpMSBJkiRJUmNAkiRJkqTGgCRJkiRJjQFJkiRJkhoDkiRJkiQ1BiRJkiRJagxIkiRJktQYkCRJkiSpMSBJkiRJUmNAkiRJkqTGgCRJkiRJzdaz3YG5LsmOVXVz+/zQqvpOz7GFwNqquqlPu4VVdW2f/dsCJwCvr6rbx7v/mnUbWHzc2ZPu96qTlk+6jSRJkrSlcwRpfG9JsqB9flOS3lC5HvjcgHanJ1kEkOTeIzurai2wFJg/A32VJEmSNAUGpPHdCNzSPn8XWJRkK4Cquh74xYB2NwCr2+cXJnlEz7FLWlCSJEmSNIc4xa6PJDsCjwXuARwOHJNkN2A/4AXAp5P8QVWdDlw94DKrq2pN+3wVcF3PsbtMyZMkSZI0+wxIfVTVzUkuA74K3KOq3pVkOfB3VXUjQJJj+rVNcgCwbfu8oKpWA2uBnZLcvaquGM63kCRJkjRZTrEboKrOb4svvK8txrA18KQkx7ZTfjug6T4jlwCWJHl6274OeH0LUJIkSZLmIAPSAEnmJ3k18NfAC+mmyT0IeOc4TY+gC0NVVd8Cntpz7EzgxTPQXUmSJEnTwIA0QFWtq6qTgf8HnF1V3wZu7VmaOwOaPqGqruJ3tX1ezzV/wPgBS5IkSdIs8RmkAZLsRLdIw4OBxUmWAYcneTtwGrDzgKbHJgmwAaCqbuw2O1V1Ve/2gHsfDRwNsHDhIo5fsn7S/V+xYsWk22zJVq9ebc2GwDoPh3UeDus8HNZ5OKzzcFjn4ZhqnQ1IfbT3Fz0PuBC4G3BiVd3QFlk4Lsl2dFPu7qKqzklySGs7Yiu6Z5ImpKrOAM4A2O+AA+vkCyb/Y1p11NJJt9mSrVixgqVLl852NzZ71nk4rPNwWOfhsM7DYZ2HwzoPx1TrbEDqo6quAd4BkOThVXXDqOO3JjlxjEv8CfCenu39mURAkiRJkjQ7fAZpDEmOAFa0z+HOIWeP9ve8UW32Aa4dFapW8ruXzYLBVJIkSZqT/EV9gPYM0kOqamRRhb2A23tOeUiSbYBtetpsBxwJnD7qcmdW1Yae7QNnoMuSJEmSpsgRpD6S7EIXdE7t2b0O+PnIRlV9li4cXdJzzjLgjKq603S6UeEI4Kxp7bAkSZKkaeEIUn+3VNVHendU1bXA+0btG33OFyZy8ao6dfyzJEmSJA2bAamPqrpttvswYvv581h50vLZ7oYkSZK0RXCKnSRJkiQ1BiRJkiRJagxIkiRJktQYkCRJkiSpMSBJkiRJUmNAkiRJkqTGgCRJkiRJjQFJkiRJkhoDkiRJkiQ1BiRJkiRJagxIkiRJktQYkCRJkiSpMSBJkiRJUmNAkiRJkqRm69nugMa2Zt0GFh93dt9jq05aPuTeSJIkSZs3R5DGkWTfns9bJzl8NvsjSZIkaeYYkMZ3cpJ9AKpqPfBPs9wfSZIkSTPEKXbjuxC4PUmA/YELkzwVOBg4uarW9J6cZB6wHbAjsAuwK7AbsBdwD+CebfuFVXXt0L6FJEmSpHEZkPpoYehVwAJgSft8DbAncBFwKfCN3nCUZCfgXOAg4Nft/OuAA4A/pwta11XV6uF9E0mSJEmTYUDqo6oKOBkgyeOBa6rqe0meD3wNuBZYnGQZ8Iuq+lZV3ZTkYcAtVXV7a7t3u84Pq2rDrHwZSZIkSRNmQBolyf2B/ehGi3YFFgFbJflL4CpgD2At3QjR1cBvR9r2GR36K+AlhiNJkiRp02BAuqsANwLnA9tU1c8BkpwCfBRYDBwO/LiqvjTwIsmLgE9U1XU9++YZliRJkqS5K91sMvWT5F+BHwHzgKXAu4FfAkcD766qCwa0ezLwAOBNwL50izvsD7wSeEJV/Xqc+x7d7sHChYsOPf7UM/uet2SfnSf9ndTf6tWrWbBgwWx3Y7NnnYfDOg+HdR4O6zwc1nk4rPNwDKrzsmXLzquqw8Zr7wjS2H4BfJhu1OihdCvX3UQXLAeFo0cDOwOHAK8ArgBWAV8CnjheOAKoqjOAMwD2O+DAOvmC/j+mVUctncx30RhWrFjB0qVLZ7sbmz3rPBzWeTis83BY5+GwzsNhnYdjqnU2II1vEbABWFVVbwdI8if9TmwLOmxbVR9MclBVnTLq+A0z3ltJkiRJG82ANLZ70r3LaBFwcJLXANsC24w+McljgV9X1Q/7XSjJ3egWdZAkSZI0RxmQxnYucAPd80NPpFvV7vqquq3Puf9ZVet7tnPHh+7lsfeje35JkiRJ0hxlQBrbB4F/oHvX0bokvwVelmRf4H1VddHIiaPCEcDvJXkD3YjTVnQr4/1gON2WJEmStDEMSAMkeRzwSODNVbUKoKrWAackeThwAvC0MS5xflX97Uz3U5IkSdL0MSCNkiTAkcAlVXV8v3Oq6twk3xnnUm+Zjv5sP38eK09aPh2XkiRJkjQOA9Io1b0Y6rMTOG/MF75W1dpp65QkSZKkodhqtjsgSZIkSXOFAUmSJEmSGgOSJEmSJDUGJEmSJElqDEiSJEmS1BiQJEmSJKkxIEmSJElSY0CSJEmSpMaAJEmSJEmNAUmSJEmSGgOSJEmSJDUGJEmSJElqDEiSJEmS1Gw90ROT7Am8Fdi7qh6f5L7Aw6rq/TPWO7Fm3QYWH3f2HdurTlo+i72RJEmSNm+TGUH6IPD/gL3b9iXAK6a7Q5IkSZI0WyYTkBZW1SeA2wGqaj2wYUZ6Ncck2XHU9n1mqy+SJEmSZs5kAtLNSXYHCiDJ4cANM9KrWZYko3b9RZJH9Wy/Ocnd+rS7V5LtZrZ3kiRJkmbKZALSq4DPAvdKcg7wIeBlM9Kr2bdfkuOTjEwnvBm4uuf4FVV1Y592VwAfSPLQfhdNco8kT0oyf5r7K0mSJGkaTHiRhqr6fhtFuQ8QYGVVrZuxns2iqrosyb8AhyTZFzgc2DnJDnTff3GSFwPfqarv97S7JckxwBFJbgOeDvwGuD/wA2A1cDmwM3DtUL+UJEmSpHFNZhW7ecATgMWt3eOSUFWnzFDfZlVVXQZc1kaRrgROqaoCzkuyP/Ap4JA+7a5px0jyP1VVST4EvK+qrhveN5AkSZI0WRMOSMDngFuBC2gLNWyOkjwO2FBVX02yAFgOHAy8JslK4PeAJwE/AS5NslVV3Z5kSVVd0HOdh1bVd9rmDYYjSZIkae5LNygygROTH1bV/We4P3NCkjOB99E9e/QT4B+Bc4B/BZ4NfBt4aFX9c0+b+wEnAa8Bfgs8pKrOasdOraoJL4me5GjgaICFCxcdevypZ95xbMk+O0/pu6m/1atXs2DBgtnuxmbPOg+HdR4O6zwc1nk4rPNwWOfhGFTnZcuWnVdVh43XfjIjSF9I8riq+tJkOriJ+j/AdsBjgMOAvwKOAB4C3FpVFyV5cpJDq+o8gKq6MMkrgEXt3H/b2JtX1RnAGQD7HXBgnXzB735Mq45aurGX1RhWrFjB0qVLZ7sbmz3rPBzWeTis83BY5+GwzsNhnYdjqnWezCp23wb+I8maJDcmuSlJv5XcNnlt8YlDgW2An9FNqzsXOAC4MMnL6EaWjk3yvCTbt3Y/rapvA3tW1S2z03tJkiRJG2syI0gnAw8DLqiJzsvbtP0+8M2qOi/JPwE/ops6twvdKnRfqaqPj27UptpdNtSeSpIkSZoWkxlBuhT40RYSjgAWjEyfowtGnwF+DSwEbqFb2a6fZwBnjXXhJAt9F5IkSZI090xmBOkKYEWSLwBrR3Zubst8JzmULgBd3rN7B+DBdAHpXGAJcMOodvcCCtgbWJjkcLowtRvdy3WPBbYHdgV2pAtcYwYpSZIkScM1mYD08/Znm/Znc/VL4MvAU0btPxe4F/B44O5Vdaelzqvqp0k+BnwduI3uZbrnAL+sqtNmvNeSJEmSpmzCAamqTpzJjswVVXV1khdV1U97du8LPIru2aLP070st58XA1u3l8VOy3NI28+fx8qTlk/HpSRJkiSNY8IBKcki4FjgfnRLYANQVY+egX7Nqqr61qhdx1TVHVPukrxpQLvfzmjHJEmSJM2oySzS8G/AxcD+wInAKuC7M9CnOac3HLXt9bPVF0mSJEkzZzIBafeqej+wrqq+XlXPBw6foX5JkiRJ0tBNZpGGde3vK5Isp1vlbd/p75IkSZIkzY7JBKS/TbIz8GrgH4C7Aa+ckV5JkiRJ0iyYzCp2I+/suQFYNjPdkSRJkqTZM9lV7F5It8T1He3as0iSJEmStMmbzBS7zwDfBL4CbJiZ7kiSJEnS7JlMQNqhqv5qxnoiSZIkSbNsMst8n5XkCTPWE0mSJEmaZZMJSMfQhaQ1SW5MclOSG2eqY5IkSZI0bJNZxW6nsY4nuV9VXTj1LkmSJEnS7JjMCNJ4/nUaryVJkiRJQzedASnTeC1JkiRJGrrpDEg1jdeSJEmSpKGbzDLfW6wkOwPzquq6CZ5/n6pa2Wf/gcDlVXXLRO+9Zt0GFh939h3bq05aPtGmkiRJkiZpOgPSbdN4rTmlqm5I8v4kr66q6yfQ5OlJbgW2pRtZGxldOxL4e+DDM9RVSZIkSVMw4YCU5FPAB4AvVNXto49X1eHT2bHZluTIqvpcz64vAAcl+SmwANgJ+FPg5Kpa3ecSp1bVraOueSDw0ZnqsyRJkqSpmcwI0nuA5wF/n+STwAer6uKZ6dbsSrIAOCXJMSO72t+3Aavbn62AnYG7hMV23lOTLAJ2aOd9Gbi5qjbMZN8lSZIkbbzJvAfpK8BX2vM4Twe+nOSXwJnAh6tq3Qz1cTa8CHg78CngpqpaP3IgyZ7ArcCjgC+NHiVq1gDnARdXVfW0fdyM9lqSJEnSlEzqGaQkuwPPBJ4FnA/8G/BI4DnA0unu3Cz6GfBdYD/gve15ovl0I0l7Ah+vqteP0X5bYDnwpCQ7ANsD2wFrksxzFEmSJEmamybzDNKngYPpXgh7ZFVd0Q59PMn3ZqJzs6WqPg2QZD3d1LgTRp67SvIs4BeD2ibZA/gM3cIMl4x+XivJvZPcVFVXzlT/JUmSJG2c9MwAG/vE5AlV9flR+7atqrUz0rM5IMluwEuBfwAOAHYElgDnVNX/DGjzRuCrwN7APsDudEF0K2Ae8HDgk1V16hj3PRo4GmDhwkWHHn/qmXccW7LPzlP+Xrqr1atXs2DBgtnuxmbPOg+HdR4O6zwc1nk4rPNwWOfhGFTnZcuWnVdVh43XfjJT7P4W+Pyofd8CHjSJa2xqNgCHA78GrgOuoVu97sYx2uxMNx3vR8BXRi8LnuQU4CNj3bSqzgDOANjvgAPr5At+92NaddTSyX4HTcCKFStYunTpbHdjs2edh8M6D4d1Hg7rPBzWeTis83BMtc7jBqQke9GNhGyf5IH8bkW3u9Gt0LY52wB8D/hnYC+6eo0XkG6ie35pR2DfJIfRjT7dHzge2Kmqrp7JTkuSJEnaOBMZQfoj4LnAvsApPftvAv56Bvo0l2ygW9r8MXRLe59PFwrHC0ivBX4KXNX+/Ah4f1VtSLI5rfYnSZIkbVbGDUhV9S/AvyT506r61BD6NJdsAD7Uu2JdkvdW1W3t8yLg2rrzg1w3AmdV1SW9F0qyQ5Kim34nSZIkaQ6ayBS7Z1bVh4HFSV41+nhVndKn2SYryWOBY4Ft6JbmXpzkSXRLd28D7J7kKe3z7cCJwGk9l9geODnJbcCuwG500/K2B1bSTb+TJEmSNAdNZIrdju3vfktuTGwJvE3L1+iC0W+AG+im1q2hezns2gms2nc58H66IHQTsLpnifA9gYNmqN+SJEmSpmgiU+xObx8PAI4ZWZUtya7AyTPYt1nRXuL6uSm0HzgNsapGnkmSJEmSNAdNZpnv+/cuWV1Vv22r2mkGbT9/HitPWj7b3ZAkSZK2CFtN5tw2agTc8RLVyQQsSZIkSZrTJhNwTgbOTfLvdM8ePQ14y4z0SpIkSZJmwYQDUlV9KMn3gEfTvSz2KVV10Yz1TJIkSZKGbFJT5FogMhRJkiRJ2ixN5hkkSZIkSdqsGZAkSZIkqTEgSZIkSVJjQJIkSZKkxoAkSZIkSY0BSZIkSZIaA5IkSZIkNQYkSZIkSWoMSJIkSZLUGJAkSZIkqdl6tjuwKUpyYFX9ZJxzFlbVtX32bwucALy+qm4f715r1m1g8XFn37G96qTlk++wJEmSpAlxBGmAJA9of2/b5/A/JDlgnEucnmRRu8a9R3ZW1VpgKTB/mroqSZIkaZoYkAb7P0leAnwxyREjO1tguq2qfpbO7gPa3wCsbp9fmOQRPccuaUFJkiRJ0hziFLvBCngv8P/bu/Mwuao6/+PvL0nIQoewJGKAgQBKQGVf1GHAjrigYgDBBXTAcTSOK46OG/wUnNERBBXc0KCMojgYdEQHcUFnGhGRJQKyhHWIEIgEiEKa7OH7++OexqKo6nQ63bc7nffrefJ03VP33Dr1pSz70/fcc5+Tmb+OiD2Aw4BnAQ9HxEnAFOChiPh0ZmZT/+7MXFYePwgsbnhuySCPXZIkSVI/GJDa6wa2A66IiBOA7wF3Ax/PzI8ARMSemfmHxk5l6t3Y8rgjM7uBFcDEiJiamQvrfBOSJEmS+s6A1Lt9gZ8AzwHeAiwEto+ID1LV7kVUZ5UabQc8THUGao+ImFbaFwMnR8TnBn/YkiRJkvrDa5B69xPg2My8GvgBVUC6C/gCcDZwXYs+h1CFoczMq4BjGp47F3jHoI5YkiRJUr/F0y+dEUBEnAl8EPgscB9wLPAq4N+B24CfA2/IzP/X1O/KzDwoIr6Qme+NiM2B44GfZeZdEbEN8LHMfHcvrz0LmAUwefKU/T5+1rlPPrfHdpMG8m2q6O7upqOjY6iHMeJZ53pY53pY53pY53pY53pY53q0q/OMGTPmZub+a+vvFLvefQB4BnAKsCwzH4qIR6nOIk1p0+dDERHAGoDMfKzarGTmg43brWTmbGA2wA47Pys/e9Nf/zPNf2Nnf9+LetHV1UVnZ+dQD2PEs871sM71sM71sM71sM71sM71WN86G5B6dwFwMbATcFVpGw/MA+YDhzZ3yMwrI2J34JaG5k2orkmSJEmSNIx5DVIvMnNhZt5VVqqbWZq3pgpHq4BN23Q9ArioYXsnDEiSJEnSsGdAam9Mz4OI2AK4t2z+GBhFdS3S0yY3RsR2wMOZ+WhD8+3A0oZtz9xJkiRJw5C/qLe3PUBEfBI4ALi/XFt0SWYui4iPl/YnRcQ44NXA15qOdW5mrmnYftbgDVuSJElSfxmQWoiI8ZTaNK5SFxF7AG+NiB2AR4E7ImIyMDoz/wuYAczOpqUBm8IRwCWDOX5JkiRJ/WNAaqGcIfpgi/abgJsAImIf4DjgWuCy8vxP+3j8swZutJIkSZIGigGpjcy8Yy3PXw9cP9jjGD9mFLef9qrBfhlJkiRJuEiDJEmSJD3JgCRJkiRJhQFJkiRJkgoDkiRJkiQVBiRJkiRJKgxIkiRJklQYkCRJkiSpMCBJkiRJUmFAkiRJkqTCgCRJkiRJhQFJkiRJkgoDkiRJkiQVBiRJkiRJKgxIkiRJklSMHuoBqHfLVq1h2kd+8uT2/NNeNYSjkSRJkkY2zyD1IiL2i4jJTW3H96HfjhHxvIbtKD8PiYhNB36kkiRJkgaCAal3Lwbe29R2bE/g6cVC4MKG7ekR8TZgW+A9Azg+SZIkSQPIgNS7GcBnm9ruzMzsrVNmrgSubGi6C5gJLAFuG9ARSpIkSRowBqQ2IuJI4IeZ+WjTUyv7eIi/9DzIzNXAPcAa4PFy/KkDMU5JkiRJA8eA1EJEdAD/TDVVjojYo81+hzdt7xQRh5XpdAdExPsj4i3l6ccb9psCXDIog5ckSZLUbwak1t4FnN2w/YmIeEaL/T7YtOjCJkA31ZS6P2bm54DHImIW1dkjgAnAvwKvH/hhS5IkSVofBqQmEfEq4L+AxxqaHwKap9oBzCvXGwGQmXdn5m+ows/WEfEZ4Dqq5dSXlt1eDPxLZt41GOOXJEmS1H/eB+npbs7MP0bEjg1tj2fmihb7LmtuiIhnATdTXYN0LjAJuBzoLLusBnYB/tBuAOWM0yyAyZOn8PE9Vj/5XFdX1zq8FfVVd3e3ta2Bda6Hda6Hda6Hda6Hda6Hda7H+tbZgNQkM//YonlNRESL1etWt9h3FnAS8EngfuDdwGTg2vL8ZcDbIuLBzPxkmzHMBmYD7LDzs/KzN/31P9P8N3b2/c2oz7q6uujs7BzqYYx41rke1rke1rke1rke1rke1rke61tnp9j1zUqawmREbAKsaGp7HfD1smodwKuBm4A7gRtK25rMfA/ws0EdsSRJkqR1ZkDqmxXAmKa2HaiuTQIgIsYC92fmHaVpk8y8KDN/DjwrM+9u7JyZ10XEpMEctCRJkqR14xS79jqAVeXxfsCHImIMsGdE/BuwOzCnZ+dyjVLjzWHHAUTE7sCtPbsBoxr2eT1lKp0kSZKkoWdAam9v4Kry+Fyqa4gW9VyHFBE78dSw86SI2BIYGxGjgdcA/16eegx4HvCrsv0SDEiSJEnSsGFAau8HVPcsIjOfdlPXzLynl74Tqe6F9Ebgyw2LO1wPnBwRbwI2B5ZGxITMXNrmOJIkSZJqZEBqIzNvWo++9wJnRMS4zFze0L4cOHxdjjV+zChuP+1V/R2KJEmSpHXgIg2DqDEcSZIkSRr+DEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBUGJEmSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBW1BKSI2L5F2+SIOHEdj7PbOu6/Z0TsvC59Gvr+fURs3tR2TkR09Od4kiRJkoa/us4gjY2Ir0bEuJ6GzHwYeMk6HudrEfHsddh/Z+B16/gaPXYBXtPUNoW11Cwi3lN+RkRsHhHTImK/iHhFRLwzIs6MiC36OSZJkiRJg2h0HS+SmXdHxL3ADsAdDU/dto6HGg0sWIf9/wb4eQlVfwR2y8w/AETEK4FrM/OhNn0fAeY2td2bmY+t5TWPjIjJwBrgMWBx+fco8CvgotIuSZIkaZipJSAVpwHPiogXA7/OzNVUZ5YOAKYDB2fm2xs7RMT0zLy9PA7glsxcFhFjge2ADwAfzszuhj6TgYOpzh4dSXXW52DgY8CxEfEQMAp4FfAWoF1AWgUsaWpbWV5jS2ByZt7Zot9dmXlKc2NEfBr4Ui+BTJIkSdIQG9SAFBH7AX9XNicAxwKnAmdHxDyqM0qbANcArabOvSEiVgCbApOBLSPio1RBZQKwBbCsqc+fgQeBLmDLzPx4RJwJXAUclpmnlrFtm5k3NI13FNVZp52B5wPPiYhlVCFqS2BmRDwBBHAr0CogrSrHOhi4IzMfLO37U51FkiRJkjRMDfYZpLuAeZm5NCI+QXU90ChgTGZ+LyKmAcuBMTRNnYuICcAM4GWZuTIiTgfek5l/Ks8fB5yWmWsa+5Xt30bE4cCV5czT+MxcExGbRMQUYHdgq4iIzMyG7vsB+wI3AC8EXpOZt5YzRtOAdwFXZuZP1vbGM/OKiJgZEb+lClvfbjzTJUmSJGn4GdSAlJmPAkREJ1Xg+AnwJ+DlEfFMYE9gstKRkQAAIABJREFUV6ozQouaum8NfK+EownAM4EXAd8rzy8HkhbK6nMHUE3rOwt4vLQ9m+os1n3Av1OFtdUN470GuCYiXgrcC7w+Ih7KzC+VKXLfB3aPiEubglW79//jiHgX1dmjf1zb/g3jnwXMApgyZQpdXV197ap+6u7uts41sM71sM71sM71sM71sM71sM71WN86D/o1SGWJ7z2A3wJvAi4H5mbmlyNiamZeFBFHAw809svM+4BzyuaHgJOAl0TEdlSh5h/KsR5per0xwHuB08v1SrOBpcAFwEcz8+ay3zjgiRbjHQW8Evgv4GfAqyJiOvB7qql3lwHHUC220BcTyut00MfFGTJzNjAbYPr06dnZ2dnHl1J/dXV1YZ0Hn3Wuh3Wuh3Wuh3Wuh3Wuh3Wux/rWeVCX+Y6ISVSLIZxbmk6kWrnuxRHxTuCAiPgUVeC4v80xDgTeTBUuvgO8G3gDcHRmPtKiyyuAzwErImIq1fVLuwGTqMLOqRHxBeBbwKtb9H8L8IWG7XOAE4CvA2TmjcCMxiXLe3n/LwHmAx8HzvceSpIkSdLwNthnkDqpzoSMBcjMjIhHgV9m5jkRsUNmnhwRO1JNe3uKco3SS4E5mbmktF1MtVz3ylYvWKa1TaO6XmgecA/wQarFGzYB/q35uqWG13susDAz76kuXQLg74GvZOYTDW0/Br4TEW9pt+x3WaBiWmZ+vWyfC5zP0++tJEmSJGmYGNQzSJn5o3KtziYNbQsy85ym/f7YfE1POfvzGqprhbJh36uB50bETr287vzM/GBmnke18MKnqVac+xbwiWhIOg2vNwXYOTMvKU2bAjsC12dmzwISY8rxf0a1AMU7yrVUzcfaB9imJxyVPj8Bvt1uzJIkSZKG3qAGpAaTab2gwqhWO0fEbsBLM/NzjcEpIrYpCz6cBsyOiC16e9GIeCtwY2ZeBkRmPgD8EPhiuVap0ZLM/O+G7a2B+T03li226nmQmR/JzNN7VtVr8qfMvLRpLAH8JiIOiYitexu3JEmSpKFR141ip9OwWhxAuR5ncpv9x2fm+U37/y2wb2Z+qWx/F7g1IuYAfwDOLzefJSLGA8cDl2fmbeUQWwNk5tyI2BmYGxFfBK7KzJszc3nTGPYCnpyKFxGjqZYHX5vnUN3nqQPYnOrap4nAOKp7Nj1GtRLfv/fhWJIkSZJqVEtAyszLIuKBpublVCvDtdr/+p7HZTGElwJLM/MTDbt9k7KKXc9y4mX/rYG9gW80BKYApjYc/6KI6Dnz0/JaJuBKGm7smpmrI+KK3t5nOSv1a+CnwF9K/8cyc2lv/SRJkiQND3WdQSIzb2naXg18sQ9dVwAnZ+ZPm/on8H8tXucR4FfN+0bER5vaeg07mXlGi7YPrqXPKuDU3vaRJEmSNHzVFpD6qwShn651x7Ufp+XZKkmSJEnqUdciDZIkSZI07BmQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBUGJEmSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEnFRh2QIqIjIrZs89yYFm2d63DsyW3ax0bEpyNio669JEmSNByN+F/SI+KYiBgVEVMiYv+y/f6IOAn4D+ADbbp2RMRbmtreFxE79fGlvxYRU8oYnt3TmJkrgE7gaQFMkiRJ0tAaPdQDqEECZwHXAwuBtwEzM3NFRLwLuK5lp8w/R8ShEXF1Zt4SEaOBBzLznj6+7qNAd3n8toj4UWZeWbbvKEFJkiRJ0jCyMQSkxcD3M/PyiHgmcCewaUTsC2wO/KmXvl8HFkfEOOCVVGeFAtgdOBRYnpnntunbnZnLyuMHyzh6LOn/25EkSZI0WDaGgLQSOCoiDga2ASYBJ1AFpa2Ahxt3jogdgQOA6cBEYCbwu7K9N/Bm4HLgklZnkyJiZ2BsedyRmd3ACmBiREzNzIWD8B4lSZIkDYARfw0SVTi5IjM/CcwH/hvYDJgHjM7Mx5v2X0kVni4GRmXmP5d+XwfOBMZk5sW9TLXbrvxMYI+IOLZsLwZOLgFKkiRJ0jC0sQSk8WWhhLsycw7wA2AXYFXzzpm5MDNvBDqAFRHxmXKM92XmY8DDZdGHd0bEZi1e7xCqMJSZeRVwTMNz5wLvGMg3J0mSJGngRGYO9RgGVUT8LbAn1WIMC6mm2T2z/DwBOLbVtLeIOByYDBwIfAg4DTgd+AZwKXAwcEw2FTAirszMgyLiC5n53ojYHDge+Flm3hUR2wAfy8x39zLmWcAsgClTpuw3Z86c9aqB1q67u5uOjo6hHsaIZ53rYZ3rYZ3rYZ3rYZ3rYZ3r0a7OM2bMmJuZ+6+t/8ZwDRLAS6muPfoLcD+wCLgVmNNiil2PvYEzgOdQLcjwPKpQ9NvMPCsitm0OR8WHykIOawAy87Fqs5KZDzZut5KZs4HZANOnT8/Ozs4+vk31V1dXF9Z58FnneljneljneljneljneljneqxvnUf0FLuImAHcCPxLZp4O/JTqjNC8zJwPbBERH4iILVp1L0txJ3Az8JvM/C4wOiK2o1qZ7mnKUt67Abc0NG9SjiNJkiRpGBvRAQnYrZwhenVEjM7Me4GfU90LCeBxquuRfhERh/R0iohtqabjQRWU7i7tY6mCzleASyPiFRHR6oavRwAXNWzvhAFJkiRJGvZGbECKiElUU+ugCiufiYhx5QzP50v70eVM0uuo7onU4yjg1og4gL/evyiAcVTT896YmfPK9lNWpStnlx7OzEcbmm8HljZsbyxTGyVJkqQNyogNSMCuVPcroizC8C3gwoh4LTCq7LNDRGyRmfMz8xJ48j5IDwNXA+dRTcuDalW7x4Fzyr2NoLqP0m49L1huKPtqqoUcGp2bmY03pH3WwLxFSZIkSQNpxJ7JyMxrI2Juw/aNEXEc8E7glxExHpgC/Ak4p6Hr7pn5PYCIeFNZ8hvg+8BlQEbEJlRnjx4CPtnQdwYwu3nxhsxc0zS8S9b7DUqSJEkacCM2IAFk5hNN20upbvZ6JkC5Lml10z4/a3h8Y8PjK6gCUG+v99Penm/Y76y+7CdJkiSpXiN5it1aNYcjSZIkSRu3jTogSZIkSVIjA5IkSZIkFQYkSZIkSSoMSJIkSZJUGJAkSZIkqTAgSZIkSVJhQJIkSZKkwoAkSZIkSYUBSZIkSZIKA5IkSZIkFQYkSZIkSSoMSJIkSZJUGJAkSZIkqTAgSZIkSVJhQOqniOiIiC3bPDemRVvnoA9KkiRJ0noZPdQDGM4i4hjgh8BWwI7ANGAHYBywD3A78P9adO2IiKMy87yGtvdFxB8z857BHbUkSZKk/jIg9S6Bs4DrgYXA24CZmbkiIt4FXNeyU+afI+LQiLg6M2+JiNHAA4YjSZIkaXgzIPVuMfD9zLw8Ip4J3AlsGhH7ApsDf+ql79eBxRExDngl8LWICGB34FBgeWaeO7jDlyRJkrQuDEi9WwkcFREHA9sAk4ATqILSVsDDjTtHxI7AAcB0YCIwE/hd2d4beDNwOXCJZ5MkSZKk4cdFGnq3ArgiMz8JzAf+G9gMmAeMzszHm/ZfSRWeLgZGZeY/l35fB84ExmTmxYYjSZIkaXgyIPVuBTA+Ip4N3JWZc4AfALsAq5p3zsyFmXkj0AGsiIjPlGO8LzMfAx6OiFER8c6I2Ky+tyFJkiSpLyIzh3oMw1ZE/C2wJ9ViDAupptk9s/w8ATg2Mxe26Hc4MBk4EPgQcBpwOvAN4FLgYOCYbFP8iJgFzAKYMmXKfnPmzBnYN6an6e7upqOjY6iHMeJZ53pY53pY53pY53pY53pY53q0q/OMGTPmZub+a+vvNUhr91Kqa4/+AtwPLAJuBea0mGLXY2/gDOA5VAsyPI8qFP02M8+KiG3bhSOAzJwNzAaYPn16dnZ2DtBbUTtdXV1Y58FnnethnethnethnethnethneuxvnV2il0bETEDuBH4l8w8Hfgp1RmheZk5H9giIj4QEVu06p6ZK6iWCb8Z+E1mfhcYHRHbAQ/W8iYkSZIkrRMDUnu7lTNEr46I0Zl5L/BzqnshATxOdT3SLyLikJ5OEbEt1XQ8qILS3aV9LFVg+gpwaUS8IiLG1PReJEmSJPWBAamFiJhENbUO4CLgMxExLjOvBD5f2o8uZ5JeR3VPpB5HAbdGxAFU91ECCGAc1fS8N2bmvLK986C+EUmSJEnrxIDU2q5U9yuiLMLwLeDCiHgtMKrss0NEbJGZ8zPzEnjyPkgPA1cD51FNy4NqVbvHgXMys7u0bQXsVsebkSRJktQ3LtLQQmZeGxFzG7ZvjIjjgHcCv4yI8cAU4E/AOQ1dd8/M7wFExJvKkt8A3wcuAzIiNqE6e/QQ8MnBfzeSJEmS+sqA1EZmPtG0vZTqZq9nApTrklY37fOzhsc3Njy+ApgxqAOWJEmStN6cYtdPzeFIkiRJ0obPgCRJkiRJhQFJkiRJkgoDkiRJkiQVBiRJkiRJKgxIkiRJklQYkCRJkiSpMCBJkiRJUmFAkiRJkqTCgCRJkiRJhQFJkiRJkgoDkiRJkiQVBiRJkiRJKgxIkiRJklQYkCRJkiSpMCBJkiRJUmFA6oOIGBsRJw71OCRJkiQNrtFDPYANQWauiIipEfEMIIHtgF2BhzLzf3v2i4hO4LrM7I6IHcvzS4dk0JIkSZLWmQGpSUQEcBowDdiy/NsCmAx8EFgDPAY8CtwG/G9D902Ar0bErcAxwOcjYkxmntdw/P2B3TPz24P/biRJkiStCwNSk8zMiLiSKgD9GbgLmATcCSwFlgOHAxdk5mNN3RcCvwS+Beycmd+OiO9ExDTgibLPjsB9g/0+JEmSJK07A1ILmflj4McR8SVgNfAq4D3Ap4E5wD7A11p1LT87ge+Ux4uAMzJzCUBEvA5YPGiDlyRJktRvLtLQuzXAvcAjwOPAWGBr4O7MfKKXflOoziYBLOOpdR4HLBn4oUqSJElaX5GZa99rIxURJwCbAfcAvwLOB2ZTLdBwWWbe3bT/bsALMvObEfEp4BTgY8C5VNP0tqe6tumqzPxDL687C5gFMGXKlP3mzJkzwO9Mzbq7u+no6BjqYYx41rke1rke1rke1rke1rke1rke7eo8Y8aMuZm5/9r6O8WuhbJQwyyqUDOVakrdNKp6rQbmAw+u5TDXAAeX/Y8Hbqc6G7Ub1bVMbWXmbKogxvTp07Ozs7Nf70N919XVhXUefNa5Hta5Hta5Hta5Hta5Hta5HutbZ6fYtZDVabUL+Os1RUk1vW4z4PnALmW7lU0j4vVUU/EmUAWk2Zn5g8y8FhjPWgKSJEmSpKFhQGpvDfAD4Aaqa5CWln9JNcXuAxHxrxGxaVO/lcAdwEeBy4FVQDQ8b0CSJEmShimn2DWJiB2Ad1ItsnA31f2P1gDbAm+kWmThW8AJmfmXpu6jgScy8/qI2Cszl5bpelF+bg9sg4s0SJIkScOSAalJZt4LfAQgIv4eOJJq2e7NgTOAW4FjM7PVWaBnUIUpGp7fFXgf1VS7x4DpmblmEN+CJEmSpH4yILUQEXtRLbDwA2CXzFwTETsB/wacCVxM62ly+1HdWLbRNcCFDfdB+sGgDVySJEnSejEgNYmIA4DHMvNLZXvLiPg4cEFmLoqIk4BLI+LXwO+BX2Rmzz2Pfki1kMOTMvPcpu17Bv1NSJIkSeoXA1KTstJco2cCn87MP5XnF0TEoVRB6E+Zuaqhb/PZI0mSJEkbEAPSWmTm61u0LQYWD8FwJEmSJA0il/mWJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBUGJEmSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBUGJEmSJEkqDEiSJEmSVBiQ+igiDo+IGevYZ2ZEHDRYY5IkSZI0sAxIfXc38P6ImBwRJ0XEHn3o8xPgcxGx9yCPTZIkSdIAMCC1ERHNtbkbWJSZDwPnAa9r02+/nseZuQZ4J/BARGwbEftGxNER8Z8REYM1dkmSJEn9M3qoBzCMvRP4EkAJM1sAm0fEccALgK+26Xd8RLyIKnxG+bkGeBhYBEwHrs3MHNzhS5IkSVpXBqT29oiI04DVQFIFnLHAPcCvgYXNHSJiErBVZp7Y7qARsWVmXjA4Q5YkSZK0PgxI7a0BPp6ZKyNiK2B7YFpmXhURU4ExZZ9GE4BfruW4Pywh6c8DP2RJkiRJ68OA1N4aYP+IeAXwF+BWYHlETABeCmwNfL6pz+bAXRExszy/RWlbSRWoNgMmArcBX6jjTUiSJEnqu/BSmNYi4kzgG5k5LyK2AfYHxgF/Bt4KvC8zFzX1mUEViu4B7qealvct4KTMXLAOrz0LmAUwZcqU/ebMmTMA70i96e7upqOjY6iHMeJZ53pY53pY53pY53pY53pY53q0q/OMGTPmZub+a+vvGaT2lgPPi4h/ArqpFls4HbgA+HFzOALIzP9tbouIB4AV6/LCmTkbmA0wffr07OzsXOfBa910dXVhnQefda6Hda6Hda6Hda6Hda6Hda7H+tbZgNTeE1Rni35IFZZ2BJYC04Cvr8NxllMt8iBJkiRpmPM+SC2UG7v+AXgG1XS6VwDzgfcBXwGOKvs9uyzgIEmSJGkEMCC19mrgR8BNwPcy8xRgW+BXmfll4BURMQ2YAuzU6gAR8fxy/6TAM0iSJEnSBsGA1CQipgN3ZuaqzLwpM/87IrYAbs/MuWW3DwCfpVrNbpc2h1pAdR3RC6hWsZMkSZI0zBmQnm67zLywsSEz/5KZtzZuA2+kuu/RDq0Okpn3AycDazJzySCOV5IkSdIAcZGGJpn5P33cbznw4bXsswh45UCMS5IkSdLg8wySJEmSJBUGJEmSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBUGJEmSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSMXqoByBJkiRtbFatWsWCBQtYvnz5UA9lxOno6GDVqlWMGTOmX/0NSH0UEeOBd2XmmX3Yd/fMnFfDsCRJkrQBWrBgARMnTmTatGlExFAPZ8TITBYsWMCCBQvYaaed+nUMp9j1UWYuA95cgtLaHBERMyNir4h4Tk9jVJ4REc+PiDdFhAFVkiRpI7R8+XK23nprw9EAiwgmTZq0Xmfm/AV93dxagtLaLAYeKD/PiYhfAEEVSB8r7fcA44DuQRqrJEmShjHD0eBY37p6BmndLOnjfiuBPwMPAtcBV1AFosXABODNwJLMNBxJkiRJw4hnkNZNNm5ExDhg58y8tcW+azJzZUmwi4BXA2cDa4C/AW4a5LFKkiRpAzHtIz8Z0OPNP+1VA3q8gdTR0UF39/qfJ/jmN7/Jddddx5e+9KUBGNVfGZBaiIgxwFbApKZ/z4uI7wPPAJ4JbA78JSJel5l/aDrMxIjYpzzuBnYEjgLuA5ZnZiJJkiRpWDEgtTYZOINqStx9wELgYaopcx+kmj73aHPIiYjjgb2pzhBNA67peYpqat225dibRsSozFwz6O9EkiRJauP888/nzDPPJCLYc889GTVqFIcffjjHHHMM8NezPV1dXZxyyilss8023HDDDbzmNa9hjz324Oyzz2bZsmVcfPHF7LLLLi1f45577uG4445j9erVHHbYYU957owzzmDOnDmsWLGCo446ik984hMAHHnkkdx3330sX76cE088kVmzZgHwH//xH3z6059m6tSp7LrrrowdO3bAa2JAaiEzFwJvam6PiGMy855e+p0PnB8Rbwa6MnN+RBwIPA58BXgNcCrVtUzPiojMzDsH4S1IkiRJvbrlllv41Kc+xZVXXsnkyZNZvHgx73//+9vuf+ONNzJv3jy22mordt55Z9761rdyzTXXcPbZZ/PFL36Rs846q2W/E088kXe84x0cf/zxfPnLX36y/Re/+AV33nkn11xzDZnJzJkz+fWvf80hhxzCeeedx1ZbbcWyZcs44IADOProo1m5ciWnnHIKc+fOZdKkScyYMYN99tmn5WuuDwPS4NsVOInqLNJWwHuB3YHvA62uXSIiZgGzAKZMmUJXV1ctA92Y9fxlRIPLOtfDOtfDOtfDOtfDOtejsc6TJk1iyZK+rv+17vpy7EsvvZSZM2cyduxYlixZwpgxY1i1ahXLli17Sv8lS5awdOlS9t13Xzo6Oli5ciXTpk3j7/7u71iyZAm77LILl112WdvX/M1vfsM3v/lNlixZwpFHHsmHP/xhlixZwiWXXMLPf/5z9tprL6Cqz0033cQ+++zDGWecwSWXXALAfffdxw033MCiRYs46KCDGDduHCtWrOCII47grrvuetrrrlmzhuXLl/f7M21AGkTl7NEdwL9RTc17a/l5YmY+1K5fZs4GZgNMnz49Ozs7B3+wG7muri6s8+CzzvWwzvWwzvWwzvWwzvVorPO8efOYOHHioL1WX449duxYxo4d+5R9x48f/2RbZrJy5UomTpzIhAkTmDBhwpP7jhkzhi233JKJEyfS0dHR62tGBJtvvjmjR4+m5wqViRMnMmbMGE466STe/va3P2X/rq4urrjiCq6++momTJhAZ2cno0aNYvz48Wy66aZPvs64ceOest1jyZIljBs3rt9nl1zme3BsRzVFbxFAZj4B3Ah8CtiZasqdJEmSNGQOPfRQ5syZwyOPPALA4sWLmTZtGnPnzgXgRz/6EatWrVrv1znooIO48MILAbjggguebH/5y1/Oeeed9+SKdvfffz+LFi3i0UcfZcstt2TChAncdttt/O53vwPg+c9/Pl1dXTzyyCOsWrWKiy66aL3H1opnkNbNpr09GREvB44Hvp2ZPyttPU+vBm6gWt77gog4KzMvH8SxSpIkaQMxFMtyP/e5z+Xkk0/mRS96EaNGjWKfffbh9NNP54gjjuDAAw/k0EMPZbPNNlvv1zn77LM57rjjOPvsszn66KOfbH/Zy17GvHnzeOELXwhUC0J85zvf4bDDDuOrX/0qe+65J9OnT+cFL3gBAFOnTuXUU0/lhS98IVOnTmXfffdlzZqBX/MsXG26byJiNPDbzDywl332A27LzMcb+nwM+D1wc2beHVVimgTsC9ydmX/s7XWnT5+et99++0C9DbXh1IJ6WOd6WOd6WOd6WOd6WOd6NE+x23333Yd2QCPUkiVLWLBgwdPqGxFzM3P/tfX3DFIfZebqiLhqLfvMbWqaAfwj8CJ48mxSAMupVrK7Evj8gA9WkiRJUr8YkNbNh9Zx/6uAF2fmHYMxGEmSJGm4+NSnPvW064Je+9rXcvLJJw/RiPrHgLQOMnPFOu7fTbWKnSRJkjSinXzyyRtcGGrFVewkSZKkIeBaAINjfetqQJIkSZJqNm7cOB555BFD0gDLTB599FHGjRvX72M4xU6SJEmq2fbbb8+CBQt46KGHhnooI87jjz/OXnvt1e/+BiRJkiSpZmPGjGGnnXYa6mGMSF1dXYwZM6bf/Z1iJ0mSJEmFAUmSJEmSCgOSJEmSJBXhyhnDW0QsAW4f6nFsBCYDDw/1IDYC1rke1rke1rke1rke1rke1rke7eq8Y2ZOWVtnF2kY/m7PzP2HehAjXURcZ50Hn3Wuh3Wuh3Wuh3Wuh3Wuh3Wux/rW2Sl2kiRJklQYkCRJkiSpMCANf7OHegAbCetcD+tcD+tcD+tcD+tcD+tcD+tcj/Wqs4s0SJIkSVLhGSRJkiRJKgxIw1hEHBYRt0fEXRHxkaEez0gQEX8TEf8bEfMi4paIOLG0nxoR90fEDeXfK4d6rBu6iJgfETeVel5X2raKiMsi4s7yc8uhHueGLCKmN3xmb4iIxyLifX6e119EnBcRiyLi5oa2tp/fiPho+a6+PSJePjSj3vC0qfMZEXFbRPwhIn4YEVuU9mkRsazhc/3VoRv5hqVNndt+T/h57p82df5eQ43nR8QNpd3Pcz/18rvcgH1HO8VumIqIUcAdwEuBBcC1wLGZeeuQDmwDFxFTgamZ+fuImAjMBY4EXgd0Z+aZQzrAESQi5gP7Z+bDDW2fARZn5mkl9G+ZmR8eqjGOJOU7437g+cA/4Od5vUTEIUA3cH5mPq+0tfz8RsRzgP8EDgS2BX4J7JqZa4Zo+BuMNnV+GfA/mbk6Ik4HKHWeBlzSs5/6rk2dT6XF94Sf5/5rVeem5z8LPJqZ/+rnuf96+V3uzQzQd7RnkIavA4G7MvP/MnMlcCFwxBCPaYOXmQsz8/fl8RJgHrDd0I5qo3IE8K3y+FtUX2gaGIcCd2fmH4d6ICNBZv4aWNzU3O7zewRwYWauyMx7gLuovsO1Fq3qnJm/yMzVZfN3wPa1D2yEafN5bsfPcz/1VueICKo/xv5nrYMagXr5XW7AvqMNSMPXdsB9DdsL8Bf5AVX+erMPcHVpeneZ0nGeU78GRAK/iIi5ETGrtG2TmQuh+oIDnjFkoxt53sBT/4/Xz/PAa/f59ft68LwF+GnD9k4RcX1EXB4RBw/VoEaQVt8Tfp4Hx8HAg5l5Z0Obn+f11PS73IB9RxuQhq9o0eZ8yAESER3AD4D3ZeZjwDnALsDewELgs0M4vJHioMzcF3gF8K4y9UCDICI2BWYCF5UmP8/18vt6EETEycBq4ILStBDYITP3Ad4PfDciNh+q8Y0A7b4n/DwPjmN56h+x/Dyvpxa/y7XdtUVbr59pA9LwtQD4m4bt7YEHhmgsI0pEjKH6H9QFmflfAJn5YGauycwngHNxOsF6y8wHys9FwA+pavpgmTvcM4d40dCNcER5BfD7zHwQ/DwPonafX7+vB1hEnAAcDrwxy8XSZXrMI+XxXOBuYNehG+WGrZfvCT/PAywiRgOvAb7X0+bnef20+l2OAfyONiANX9cCz46Incpfh98A/HiIx7TBK3OAvwHMy8zPNbRPbdhalAY6AAABd0lEQVTtKODm5r7qu4jYrFw4SURsBryMqqY/Bk4ou50A/GhoRjjiPOUvk36eB027z++PgTdExNiI2Al4NnDNEIxvRIiIw4APAzMzc2lD+5SyGAkRsTNVnf9vaEa54evle8LP88B7CXBbZi7oafDz3H/tfpdjAL+jRw/skDVQyuo97wZ+DowCzsvMW4Z4WCPBQcDfAzf1LLUJnAQcGxF7U51ynQ+8fWiGN2JsA/yw+g5jNPDdzPxZRFwLzImIfwTuBV47hGMcESJiAtVql42f2c/4eV4/EfGfQCcwOSIWAKcAp9Hi85uZt0TEHOBWqilh73LFr75pU+ePAmOBy8p3yO8y85+AQ4B/jYjVwBrgnzKzrwsPbNTa1Lmz1feEn+f+a1XnzPwGT79GFPw8r492v8sN2He0y3xLkiRJUuEUO0mSJEkqDEiSJEmSVBiQJEmSJKkwIEmSJElSYUCSJEmSpMKAJEmSJEmFAUmSJEmSCgOSJEmSJBX/H0h+U1EByTFfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = utils.cross_sectional_bar(daily_frm[daily_frm['province_name'] == '湖北省'], '2020-02-01', col='cum_dead', groupby='city_name',\n",
    "                              title='2020-02-01 各省累计死亡人数比较')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 全国2月5日新增确诊最多的十个城市 （用 largestN 参数限制横条数目）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = utils.cross_sectional_bar(daily_frm, '2020-02-05', col='new_confirmed', groupby='city_name', largestN=10,\n",
    "                              title='2020-02-05 全国各市新增确诊人数前十')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
